Projects per year
Organisation profile
Organisation profile
We explore the nature of intelligence and we build intelligent systems.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Artificial Intelligence and Machine Learning is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Tapan Auti
- Department of Computer Science - AI Engineer - KTP Associate
- Artificial Intelligence and Machine Learning
Person: Affiliate staff, Teaching & Other
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Andy Barnes
- Department of Computer Science - Lecturer
- Centre for Climate Adaptation & Environment Research (CAER)
- Artificial Intelligence and Machine Learning
- Institute of Sustainability and Climate Change
Person: Research & Teaching, Core staff, Affiliate staff
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Co-occurrence of antisocial behaviour and substance use from adolescence to early adulthood
Deng, J. (PI), Allen, J. (PI), Freeman, T. (CoI), Hammerton, G. (CoI) & Şimşek, Ö. (CoI)
1/10/24 → 31/03/28
Project: Research council
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The virtual biomechanics lab
Seminati, E. (PI), Cazzola, D. (CoI) & Campbell, N. (CoI)
1/09/24 → 31/05/25
Project: Research-related funding
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The virtual biomechanics lab
Seminati, E. (PI), Cazzola, D. (CoI) & Campbell, N. (CoI)
1/09/24 → 30/04/25
Project: Research-related funding
Research output
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A Bayesian expert system for additive manufacturing design assessment
Rogers, B. A., Campbell, N., Dhanda, M., Lunt, A. J. G., Pegg, E. C. & Dhokia, V., 31 May 2024, In: Proceedings of the Design Society. 4, p. 1809-1818 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Accelerated modelling of moisture diffusion controlled drying using coupled physics informed neural network.
Barnard, J., Chew, J., Perera, S., Şimşek, Ö., Balquis, K. & Barker, J., 31 May 2024, In: Food and Bioproducts Processing. 145, p. 67-77 11 p.Research output: Contribution to journal › Article › peer-review
Open Access25 Downloads (Pure) -
Adjudicating LLMs as PropBank Annotators
Bonn, J., Madabushi, H. T., Hwang, J. D. & Bonial, C., 21 May 2024, 5th International Workshop on Designing Meaning Representation, DMR 2024 at LREC-COLING 2024 - Workshop Proceedings. Bonial, C., Bonn, J. & Hwang, J. D. (eds.). European Language Resources Association (ELRA), p. 112-123 12 p. (5th International Workshop on Designing Meaning Representation, DMR 2024 at LREC-COLING 2024 - Workshop Proceedings).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile
Datasets
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Dataset for 'How smart do smart meters need to be?'
Mogles, N. (Creator), Walker, I. (Creator), Ramallo-González, A. (Creator), Lee, J. (Creator), Natarajan, S. (Creator), Padget, J. (Creator), Gabe-Thomas, E. (Creator), Hyniewska, S. (Creator), Lovett, T. (Creator), Ren, G. (Creator), O'Neill, E. (Creator), Hourizi, R. (Creator) & Coley, D. (Creator), University of Bath, 1 Oct 2016
DOI: 10.15125/BATH-00256
Dataset
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ENLITEN - A dataset and its associated analysis code for the paper entitled "Designing sensor sets for capturing energy events in buildings"
Lee, J. (Creator), Gabe-Thomas, E. (Creator), Lovett, T. (Creator), Padget, J. (Creator), Natarajan, S. (Creator) & Coley, D. (Creator), University of Bath, 1 Oct 2016
DOI: 10.15125/BATH-00241
Dataset
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Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Weir, G. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator), Hamill, J. (Creator) & Preatoni, E. (Creator), University of Bath, 26 Jul 2021
DOI: 10.15125/BATH-00965, https://github.com/adrianrivadulla/FootNet
Dataset